Process Mining in the Large: A Tutorial

@inproceedings{Aalst2013ProcessMI,
  title={Process Mining in the Large: A Tutorial},
  author={W. Aalst},
  booktitle={eBISS},
  year={2013}
}
  • W. Aalst
  • Published in eBISS 2013
  • Computer Science
Recently, process mining emerged as a new scientific discipline on the interface between process models and event data. On the one hand, conventional Business Process Management (BPM) and Workflow Management (WfM) approaches and tools are mostly model-driven with little consideration for event data. On the other hand, Data Mining (DM), Business Intelligence (BI), and Machine Learning (ML) focus on data without considering end-to-end process models. Process mining aims to bridge the gap between… Expand
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